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maximum-likelihood

The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimi

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a program that takes in three arguments: the first one represents the size of an array that will be

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zemax源码： This DLL models a standard ZEMAX surface type, either plane, sphere, or conic The surfac

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* CONSTRAINTS * This module does not handle data which is considered out of range by the * appli

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function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag) ％CUM2X Cross-covariance ％ y_cum = cum2x

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Input The input consists of two lines. The first line contains two integers n and k which are the l

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This paper addresses a stochastic-#ow network in which each arc or node has several capacities and m

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This paper addresses a stochastic-#ow network in which each arc or node has several capacities and m

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This paper addresses a stochastic-#ow network in which each arc or node has several capacities and m

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This paper addresses a stochastic-#ow network in which each arc or node has several capacities and m

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